1 to 25 of 39 Remote/Hybrid Machine Learning Jobs in the North West

same! Key Responsibilities: Build, maintain, and productionise machine learning models using PyTorch or similar frameworks. Design and optimise data pipelines for ML inference at scale. Work with large datasets using Big Data tools. Deploy ML workflows using AWS infrastructure . Collaborate with data engineers and product teams … integrate ML solutions into RealityMine’s products. Investigate and troubleshoot customer feedback on data quality and drive model improvements from experimentation . Promote best practices in ML engineering and data quality across the business. Adhere to Company Policies and Procedures with respect to Security, Quality and Health & Safety. AI first ...

Title: AI/ML Engineer – Data Science Location: United Kingdom (Remote/Hybrid) Eligibility: Permanent UK Citizenship required Experience: 5–7 years (Mandatory in Data Science/AI-ML) Role Overview We are seeking a skilled AI/ML Engineer – Data Science to design, develop, and deploy scalable machine … Responsibilities - Design, build, and optimize machine learning and deep learning models for real-world applications. - Develop and deploy AI/ML solutions using modern Python-based frameworks. - Implement NLP models and solutions for structured and unstructured data. - Build and maintain production-ready ML pipelines, ensuring scalability ...

Automating Machine Learning workflows (training → deployment) with AWS & GitOps Deploying LLMs using Kubernetes & Docker Building infrastructure with Terraform & Helm Monitoring and maintaining ML models with performance alerts and dashboards Supporting CI/CD for ML pipelines Developing production-grade APIs (REST/gRPC) to serve models Collaborating with … DevOps or MLOps roles (ideally in AWS environments) Hands-on with Docker, Kubernetes, and Terraform Strong scripting skills in Python or Bash Familiar with ML lifecycle tools, model monitoring, and versioning Exposure to tools like KServe, Ray Serve, Triton, or vLLM a big plus Bonus Points: Experience with observability frameworks ...

will be working on Designing and building Python applications that sit at the heart of AI solutions Supporting the development and deployment of machine learning systems Turning complex challenges into clean, scalable software Working closely with experienced engineers, data scientists, and consultants Testing, refining, and improving systems … they move into production Learning how high impact AI solutions are delivered to real clients What we are looking for A degree in Computer Science, Software Engineering, AI, Data Science, or a closely related subject A strong academic background from a top university, with Russell Group preferred Confidence writing ...

delivery of cutting-edge Machine Learning and AI-powered products. This role is ideal for someone who combines strong technical credibility in ML/AI environments with proven leadership and people management skills. You'll oversee delivery pipelines, mentor engineers, and ensure AI-driven products are delivered … standard - on time and aligned to business impact. Key Responsibilities Lead, mentor, and develop a team of engineers working across software and AI/ML initiatives Drive delivery across multiple concurrent projects, ensuring alignment with business and product goals Oversee technical direction, architecture, and best practices across Machine Learning ...

join their expanding data function. This is an excellent opportunity for an early-career data professional to gain hands-on experience across the full machine learning lifecycle in a regulated, real-world environment. You’ll work closely with Senior Data Scientists, Data Engineers, and Analysts to develop, test … Early career stage (graduate, placement, bootcamp, or personal projects) Strong Python skills (pandas, scikit-learn) Solid SQL skills (joins, aggregations, relational data) Understanding of ML fundamentals (train/test splits, overfitting, evaluation metrics) Clear communication skills Strong learning mindset and interest in AWS/cloud technologies Comfortable working ...

stay hands-on. Responsibilities include delivering Fabric solutions (OneLake, Lakehouse, Warehouses, Power BI), leading architecture and performance optimization, and enabling advanced analytics and machine learning with Fabric and Azure ML. Key skills and responsibilities, Demonstrated hands-on experience with Microsoft Fabric and Power BI. Extensive knowledge in data … deliver comprehensive Fabric solutions, including OneLake, Lakehouse, Warehouses, and Power BI. Lead architectural design, capacity planning, and performance optimization efforts. Facilitate advanced analytics and machine learning initiatives utilizing Fabric and Azure ML. Implement governance, security, and DevOps best practices. Mentor engineers and contribute to the development of platform ...

stay hands-on. Responsibilities include delivering Fabric solutions (OneLake, Lakehouse, Warehouses, Power BI), leading architecture and performance optimization, and enabling advanced analytics and machine learning with Fabric and Azure ML. Key skills and responsibilities, Demonstrated hands-on experience with Microsoft Fabric and Power BI. Extensive knowledge in data … deliver comprehensive Fabric solutions, including OneLake, Lakehouse, Warehouses, and Power BI. Lead architectural design, capacity planning, and performance optimization efforts. Facilitate advanced analytics and machine learning initiatives utilizing Fabric and Azure ML. Implement governance, security, and DevOps best practices. Mentor engineers and contribute to the development of platform ...

Financial Crime, Data & AI-driven SaaS company helping organisations detect, prevent, and manage financial crime at scale. Our platform combines advanced data, AI and machine learning to deliver market-leading solutions across: Financial Crime Risk Management Anti-Money Laundering (AML) & Counter-Terrorist Financing (CTF) KYC & Risk Assessment Watchlist … from anywhere Competitive base salary + uncapped commission High-growth SaaS business in a mission-critical market Opportunity to sell cutting-edge AI and machine learning technology Clear career progression and leadership opportunities Collaborative, ambitious, and supportive culture ...

indicators. Automate client-ready reporting and insight generation across multiple accounts and channels. Apply AI and machine learning tools (e.g. Python, modern ML frameworks, analytics tooling) pragmatically to deliver value quickly rather than experimental outputs. AI-Driven Resource Management & Agency Operations Design AI-enabled systems to improve resourcing … ahead of developments in AI, martech, attribution, and agency operations. Continuously refine internal frameworks for speed, scalability, and repeatability. Embed a culture of testing, learning, and evidence-based decision making. Ensure AI capability evolves in line with agency growth and client expectations. Qualifications Education Bachelor's or Master ...

organisation, which will provide insights into how we operate, and the collaborative environment you’ll be part of. This lays the foundation for a learning journey tailored to your goals and preferred style of development. From day one, you’ll have access to mentors and subject matter experts … encouraged every step of the way, becoming an integral part of our innovative team. We’ll provide the space and resources for continuous learning, experimentation, and improvement – with up to 30% of your time dedicated to personal development. From books, online courses, and conferences to real-world projects supported ...

internet actually works Experience with Splunk & SPL SQL or similar data manipulation skills Exposure to network security products HTML, CSS, JavaScript Data Science or Machine Learning experience Location & Flexibility Edinburgh-based engineers: hybrid working (typically 2 days in office) Fully remote options available for the right candidate Cutting ...

agile delivery model, enabling their teams to be involved in different projects and audit analytics delivery including data migration, governance, data analytics, advanced (AI-ML) analytics, platform development and robotic process automation (RPA) services. Job purpose As an Assistant Data Manager, you will be supporting in developing audit analytics tools ...

Azure Data Factory. • Drive DevOps best practices including CI/CD, automated testing and infrastructure as code. • Collaborate closely with data engineers, ML engineers and wider technical teams to deliver robust platform capabilities. • Take ownership of key data platform projects and influence engineering direction. • Provide technical leadership and ensure standards ...

checks across large datasets Investigate data issues and improve reliability, consistency and trust in the outputs Work closely with Product, Data Engineering, Apps and ML teams to deliver new features and improvements Keep documentation clear, current and genuinely useful This is a role for someone who cares about how data ...

Role As Lead Data Scientist, you will: Lead and develop a growing Data Science team, setting standards and delivery cadence Own end-to-end ML solutions -from problem framing and feature engineering to deployment, monitoring, and governance Translate business objectives into modelling strategies aligned to risk appetite and operational constraints … regulated environment This role requires someone who thinks beyond experimentation - focusing on operational impact, adoption, and long-term model performance. Essential Experience Proven commercial ML/Data Science delivery with measurable impact Experience taking models into production and managing performance over time Prior experience leading or mentoring Data Scientists Strong ...

Node.js, JavaScript/TypeScript Express.js, Fastify MongoDB AWS Vue.js, Nuxt.js Nice to Have AI Experience Not essential, but a big bonus: Integrating AI/ML models Working with LLM APIs (OpenAI, Anthropic, etc.) Prompt engineering AI workflow tools (LangChain, Flowise) Building internal AI automation tools Benefits This company genuinely invests ...

requirements into robust production solutions Influence how MLOps drives pricing performance and business outcomes Experience Required: Strong Python engineering capability Experience working with production ML, pricing or data driven systems Confidence working with Git and structured release processes Logical and structured problem solving ability Clear communication across technical ...

with: Node.js, JavaScript/TypeScript Express.js, Fastify MongoDB AWS Vue.js, Nuxt.js Nice to Have AI Experience Not essential, but highly desirable: Integrating AI/ML models into production systems Working with LLM APIs (OpenAI, Anthropic, etc.) Prompt engineering AI workflow tools (LangChain, Flowise) Building internal AI-powered automation tools ...

with Gong (or similar call intelligence platform). • Experience with project/milestone‐based revenue (services, consulting) and commission modelling. • Exposure to AI/ML or cloud/professional services deals. Benefits: Health Insurance Fully Remote PTO: location‐based, in line with local statutory requirements and market practice. Diverse team ...

Excellent knowledge of ERP software processes (preferably SAP S4 HANA and 3PL integration technologies) and a strong understanding of complementary technologies (BTP, AI/ML, Process Mining) and their application to enterprise processes. Strong analytical and problem-solving skills with a data-driven decision-making approach. Proven experience of successfully ...

with some of the most technically advanced AI companies, focused on the DACH region. There is the opportunity to specialise in software, data engineering, machine learning or product. This role is suited to an experienced consultant who operates with autonomy, values depth in their market, and wants … recruitment experience in-agency, ideally within software, AI, or a related technical market. We have opportunities to specialise in software, product, data engineering or machine learning. Beyond experience, we’re interested in how you approach your market and your work. The people who do well here are genuinely invested ...

network. Company: Well established cyber vendor with a strong portfolio due to some strategic acquisitions: vulnerability management, app security and threat intelligence. (cloud, AI &ML) Multi award winning vendor and recognised in industry reports for their innovation. Global team of over 400 employees - strong foundations from pre-sales & marketing support. ...

engineering experience, ideally with some insights into distributed systems Some systems architecture exposure Performance engineering exposure Mentoring experience Preferred Superpowers Background building AI/ML platforms Experience operating within regulated industries Team & environment Small, high-calibre engineering team (~8 engineers) Fast-paced, high-ownership culture Serious technical ambition — strong people ...

prioritise and allocate work. Delivering both strategic and tactical technology solutions. Applying modern DevOps and exploring emerging technologies such as artificial intelligence and machine learning. This is a great opportunity and salary is dependent upon experience. Apply now for more details. ...